Breast cancer mortality in Brazilian men: an age-period-cohort study
DOI:
https://doi.org/10.29289/2594539420240030Palavras-chave:
epidemiology, breast cancer, age-period-cohortResumo
Male breast cancer is a rare malignancy whose health impacts remain unknown, notably in countries like Brazil. The purpose of this article was to evaluate breast cancer mortality in Brazilian men by an age-period-cohort study. Methods: This ecological study evaluates the mortality of Brazilian men due to breast cancer using an age-period-cohort model. Data were sourced from the public, open-access Brazilian database DATASUS, available at https://datasus.saude.gov.br, covering the period from 1996 to 2021. Demographic data represent the total population of Brazilian males, while clinical data focus on patients whose cause of death was coded as 175 (ICD-9) or C50 (ICD-10). The age-period-cohort effects were analyzed following the classic model and its adaptations. The analysis was performed using R 4.4.0. Alpha® software. Results: It was noted an increasing mortality trend with aging, peaking in men over 80 years old. From 1996 to 2009, no statistically significant changes were observed in the hazard ratio (HR). However, from 2010 onward, a significant increase in HR was found, reaching a peak in 2020–2021 (HR 2.79634; 95%CI 2.37121–3.29770). A total of 34 birth cohorts (1919–2011) were analyzed. Cohorts from 1919–1964 and 1981–2011 did not show statistically significant results, while those from 1966–1979 exhibited a decreasing HR, with the lowest HR seen in the 1979 cohort (HR 0.91323; 95%CI 0.83545–0.99825). Conclusions: This study identifies a growing trend in male breast cancer mortality in Brazil, particularly after 2010, with variations across birth cohorts.
Downloads
Referências
1. Sogunro OA, Maini M, Deldar R, Maini AS, Greige N,
Greenwalt I, et al. Prognostic predictors of mortality in male
breast cancer: Outcomes in an urban population. J Surg Res.
2023;281:192-9. https://doi.org/10.1016/j.jss.2022.08.035
2. Li N, Wang X, Zhang H, Wang H. Young male breast cancer, a
small crowd, the survival, and prognosis?: A population-based
study. Medicine (Baltimore). 2018;97(40):e12686. https://doi.
org/10.1097/MD.0000000000012686
3. Cronin PA, Romanoff A, Zabor EC, Stempel M, Eaton A, Smyth
LM, et al. Influence of age on the clinical outcome of breast
cancer for men and the development of second primary
cancers. Ann Surg Oncol. 2018;25(13):3858-66. https://doi.
org/10.1245/s10434-018-6767-0
4. Tural D, Selçukbiricik F, Aydoğan F, Be e N, Yetmen O, Ilvan S,
et al. Male breast cancers behave differently in elderly patients.
Jpn J Clin Oncol. 2013;43(1):22-27. https://doi.org/10.1093/jjco/
hys193
5. Peng JY, Lee YK, Pham RQ, Shen XH, Chen IH, Chen YC, et al.
Trends and age-period-cohort effect on incidence of male breast
cancer from 1980 to 2019 in Taiwan and the USA. Cancers (Basel).
2024;16(2):444. https://doi.org/10.3390/cancers16020444
6. Instituto Nacional de Câncer. Estimativa 2023: Incidência de
Câncer no Brasil. Rio de Janeiro: INCA; 2023.
7. Holford TR. The estimation of age, period and cohort effects for
vital rates. Biometrics. 1983;39(2):311-24.
8. Clayton D, Schifflers E. Models for temporal variation in
cancer rates. I: age–period and age–cohort models. Stat Med.
1987;6(4):449-67. https://doi.org/10.1002/sim.4780060405
9. Carstensen B. Age-period-cohort models for the Lexis diagram.
Stat Med. 2007;26(15):3018-45. https://doi.org/10.1002/sim.2764
10. Fentiman IS. The endocrinology of male breast cancer. Endocr
Relat Cancer. 2018;25(6): R365-R373. https://doi.org/10.1530/
ERC-18-0117
11. Ruddy KJ, Winer EP. Male breast cancer: risk factors,
biology, diagnosis, treatment, and survivorship. Ann Oncol.
2013;24(6):1434-43. https://doi.org/10.1093/annonc/mdt025
12. Fox S, Speirs V, Shaaban AM. Male breast cancer: an update.
Virchows Arch. 2022;480(1):85-93. https://doi.org/10.1007/
s00428-021-03190-7
13. Gucalp A, Traina TA, Eisner JR, Parker JS, Selitsky SR, Park BH,
et al. Male breast cancer: a disease distinct from female breast
REFERENCES
cancer. Breast Cancer Res Treat. 2019;173(1):37-48. https://doi.
org/10.1007/s10549-018-4921-9
14. Khan NAJ, Tirona M. An updated review of epidemiology, risk
factors, and management of male breast cancer. Med Oncol.
2021;38(4):39. https://doi.org/10.1007/s12032-021-01486-x
15. Chidambaram A, Prabhakaran R, Sivasamy S, Kanagasabai
T, Thekkumalai M, Singh A, et al. Male breast cancer:
current scenario and future perspectives. Technol Cancer
Res Treat. 2024;23:15330338241261836. https://doi.
org/10.1177/15330338241261836
16. Antonini M, Mattar A, Pannain GD, Buttenbender SF, Pinheiro
DJPC, Teixeira MD, et al. Male and female disparities in breast
cancer epidemiology: A comparative cross-sectional analysis
of a Brazilian cohort (2017-2021). Heliyon. 2024;10(18):e38183.
https://doi.org/10.1016/j.heliyon.2024.e38183
17. Hassett MJ, Somerfield MR, Baker ER, Cardoso F, Kansal KJ,
Kwait DC, et al. Management of Male Breast Cancer: ASCO
Guideline. J Clin Oncol. 2020;38(16):1849-63. https://doi.
org/10.1200/JCO.19.03120
18. Cardoso F, Bartlett JMS, Slaets L, van Deurzen CHM, van
Leeuwen-Stok E, Porter P, et al. Characterization of male
breast cancer: Results of the EORTC 10085/TBCRC/BIG/
NABCG International Male Breast Cancer Program. Ann
Oncol. 2018;29(2):405-17. https://doi.org/10.1093/annonc/
mdx651
19. Piscuoglio S, Ng CKY, Murray MP, Guerini-Rocco E, Martelotto
LG, Geyer FC, et al. The genomic landscape of male breast
cancers. Clin Cancer Res. 2016;22(16):4045-56. https://doi.
org/10.1158/1078-0432.CCR-15-2840
20. Avila J, Herrick B, Attai DJ, Leone JP. Treatments for breast
cancer in men: late effects and impact on quality of life. Breast
Cancer Res Treat. 2023;201(3):489-98. https://doi.org/10.1007/
s10549-023-07027-6
21. Abboah-Offei M, Bayuo J, Salifu Y, Afolabi O, Akudjedu TN.
Experiences and perceptions of men following breast cancer
diagnosis: a mixed method systematic review. BMC Cancer.
2024;24(179). https://doi.org/10.1186/s12885-024-11911-9
22. Marinho MF, França EB, Teixeira RA, Ishitani LH, Cunha CC,
Santos MR, et al. Dados para a saúde: impacto na melhoria
da qualidade da informação sobre causas de óbito no Brasil.
Rev Bras Epidemiol. 2019;22(Suppl 3):e19005. https://doi.
org/10.1590/1980-549720190005.supl.3
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2025 Lucas Casagrande Passoni Lopes

Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.